Red Hat Konflux update data-science-pipelines-persistenceagent #198
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Signed-off-by: red-hat-konflux <[email protected]>
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A set of new images have been built to help with testing out this PR: |
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An OCP cluster where you are logged in as cluster admin is required. The Data Science Pipelines team recommends testing this using the Data Science Pipelines Operator. Check here for more information on using the DSPO. To use and deploy a DSP stack with these images (assuming the DSPO is deployed), first save the following YAML to a file named apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
name: pr-198
spec:
dspVersion: v2
apiServer:
image: "quay.io/opendatahub/ds-pipelines-api-server:pr-198"
argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-198"
argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-198"
persistenceAgent:
image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-198"
scheduledWorkflow:
image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-198"
mlmd:
deploy: true # Optional component
grpc:
image: "quay.io/opendatahub/mlmd-grpc-server:latest"
envoy:
image: "registry.redhat.io/openshift-service-mesh/proxyv2-rhel8:2.3.9-2"
mlpipelineUI:
deploy: true # Optional component
image: "quay.io/opendatahub/ds-pipelines-frontend:pr-198"
objectStorage:
minio:
deploy: true
image: 'quay.io/opendatahub/minio:RELEASE.2019-08-14T20-37-41Z-license-compliance'Then run the following: cd $(mktemp -d)
git clone [email protected]:opendatahub-io/data-science-pipelines.git
cd data-science-pipelines/
git fetch origin pull/198/head
git checkout -b pullrequest 0ad5a24ca492378a1eb33d8334747fb755c81b0c
oc apply -f dspa.pr-198.yamlMore instructions here on how to deploy and test a Data Science Pipelines Application. |
Pipelines as Code configuration proposal
To start the PipelineRun, add a new comment with content
/ok-to-testFor more detailed information about running a PipelineRun, please refer to Pipelines as Code documentation Running the PipelineRun
To customize the proposed PipelineRuns after merge, please refer to Build Pipeline customization
Please follow the block sequence indentation style introduced by the proprosed PipelineRuns YAMLs, or keep using consistent indentation level through your customized PipelineRuns. When different levels are mixed, it will be changed to the proposed style.